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Spatial Data Science (SDS)
World Campus
Earth and Mineral Sciences

Spatial Data Science – Admissions Data

MS 2014/15 2015/16 2016/17 2017/18 2018/19 2019/20 2020/21 2021/22 2022/23 2023/24
Applications - - - - - - 13 49 44 53
Offers (% selectivity) - - - - - - 12 (92%) 41 (84%) 41 (93%) 41 (77%)
Accepts (% yield) - - - - - - 12 (100%) 35 (85%) 40 (98%) 36 (88%)

"-" indicates n=0


Spatial Data Science – Average GRE Scores for New Enrollees*

MS 2014/15 2015/16 2016/17 2017/18 2018/19 2019/20 2020/21 2021/22 2022/23 2023/24
Analytical (P) - - - - - - - c - -
Verbal (P) - - - - - - c 156.71 (72%)
n=7
c c
Quantitative (P) - - - - - - c 154.00 (57%)
n=7
c c
Analyt Writing (P) - - - - - - c 4.33 (64%)
n=6
c c

*GRE tests taken on or after August 1st, 2011 are scored according the following scale:
    Verbal Reasoning: 130 - 170, 1 point increments
    Quantitative Reasoning: 130 - 170, 1 point increments
    Analytical Writing: 0 - 6, half point increments
  For tests taken prior to August 1st, 2011, scores were converted to the new scale accordingly.
P = Percentile Ranking
c = data not displayed because n is too small to protect confidentiality of the student data
"-" indicates n=0


Spatial Data Science – Average GMAT Scores for New Enrollees

MS 2014/15 2015/16 2016/17 2017/18 2018/19 2019/20 2020/21 2021/22 2022/23 2023/24
Total (P) * - - - - - - - - c -
Verbal (P) * - - - - - - - - c -
Quantitative (P) * - - - - - - - - c -
Analyt Writing (P) * - - - - - - - - c -

*P = Percentile Ranking
c = data not displayed because n is too small to protect confidentiality of the student data
"-" indicates n=0


Spatial Data Science – Jr/Sr GPA for New Enrollees

MS 2014/15 2015/16 2016/17 2017/18 2018/19 2019/20 2020/21 2021/22 2022/23 2023/24
GPA - - - - - - 3.59
n=13
3.17
n=35
3.51
n=39
3.38
n=32

"-" indicates n=0


Spatial Data Science – Demographics for New Enrollees

MS 2014/15 2015/16 2016/17 2017/18 2018/19 2019/20 2020/21 2021/22 2022/23 2023/24
Total New Enrl - - - - - - 13 35 39 32
Domestic - - - - - - 13 (100%) 33 (94%) 36 (92%) 30 (94%)
  Total URM * - - - - - - - 5 (14%) 4 (10%) 3 (9%)
    Black/Afr. Amer. - - - - - - - -   3 (8%)   1 (3%)
    Am. Ind./AK Native - - - - - - - - -   1 (3%)
    Hawaiian/Pac. Is. - - - - - - - - - -
    Hispanic/Latino - - - - - - -   5 (14%)   1 (3%)   1 (3%)
  Asian - - - - - - 1 (8%) 5 (14%) 1 (3%) 1 (3%)
  White - - - - - - 10 (77%) 21 (60%) 31 (79%) 24 (75%)
  Two or More - - - - - - 2 (15%) - - 1 (3%)
  Unknown - - - - - - - 2 (6%) - 1 (3%)
International - - - - - - - 2 (6%) 3 (8%) 2 (6%)

*URM: Underrepresented Minorities
Two or More: Applicant selected more than one race/ethnicity.
Unknown: Applicant chose not to disclose race/ethnicity information.
"-" indicates n=0

MS 2014/15 2015/16 2016/17 2017/18 2018/19 2019/20 2020/21 2021/22 2022/23 2023/24
Female - - - - - - 6 (46%) 13 (37%) 14 (36%) 10 (31%)
Male - - - - - - 7 (54%) 22 (63%) 25 (64%) 22 (69%)
Nonbinary or other legal identity - - - - - - - - - -
Total - - - - - - 13 35 39 32

"-" indicates n=0


Spatial Data Science – Total Enrollments by Degree

2014/15 2015/16 2016/17 2017/18 2018/19 2019/20 2020/21 2021/22 2022/23 2023/24
MS - - - - - - 14 51 86 98

"-" indicates n=0


Spatial Data Science – Total Enrollments by Demographic

MS 2014/15 2015/16 2016/17 2017/18 2018/19 2019/20 2020/21 2021/22 2022/23 2023/24
Total Enrl - - - - - - 14 51 86 98
Domestic - - - - - - 14 (100%) 48 (94%) 79 (92%) 89 (91%)
  Total URM * - - - - - - - 6 (12%) 10 (12%) 11 (11%)
    Black/Afr. Amer. - - - - - - - -   3 (3%)   4 (4%)
    Am. Ind./AK Native - - - - - - - - -   2 (2%)
    Hawaiian/Pac. Is. - - - - - - - - - -
    Hispanic/Latino - - - - - - -   6 (12%)   7 (8%)   5 (5%)
  Asian - - - - - - 1 (7%) 6 (12%) 7 (8%) 5 (5%)
  White - - - - - - 11 (79%) 32 (63%) 59 (69%) 71 (72%)
  Two or More - - - - - - 2 (14%) 2 (4%) 2 (2%) 1 (1%)
  Unknown - - - - - - - 2 (4%) 1 (1%) 1 (1%)
International - - - - - - - 3 (6%) 7 (8%) 9 (9%)

*URM: Underrepresented Minorities
Two or More: Applicant selected more than one race/ethnicity.
Unknown: Applicant chose not to disclose race/ethnicity information.
"-" indicates n=0

MS 2014/15 2015/16 2016/17 2017/18 2018/19 2019/20 2020/21 2021/22 2022/23 2023/24
Female - - - - - - 7 (50%) 21 (41%) 32 (37%) 32 (33%)
Male - - - - - - 7 (50%) 30 (59%) 54 (63%) 66 (67%)
Nonbinary or other legal identity - - - - - - - - - -
Total - - - - - - 14 51 86 98

"-" indicates n=0


Spatial Data Science – Total Degrees Conferred by Degree

Total 2014/15 2015/16 2016/17 2017/18 2018/19 2019/20 2020/21 2021/22 2022/23 2023/24
MS - - - - - - - 2 11 29

"-" indicates n=0

Spatial Data Science – Median Time to Degree (years)

MS 2014/15 2015/16 2016/17 2017/18 2018/19 2019/20 2020/21 2021/22 2022/23 2023/24
In Major/Degree * - - - - - - - 1.1 1.6 2
First Enrollment - - - - - - - 2.3 1.6 2
Number (n) - - - - - - - n=2 n=11 n=29

*In Major/Degree: The median time to degree in graduating major and degree at Penn State.
First Enrollment: The median time to degree based on the first enrollment as a graduate student at Penn State.
"-" indicates n=0


Spatial Data Science – Degree Completion, WC Campus

MS #Started 1 year 2 years 3 years 4 years 5 years 6 years 7 years 8 years 9 years Total Completed % Completed
2014/15 Cohort - - - - - - - - - - - -
2015/16 Cohort - - - - - - - - - - -
2016/17 Cohort - - - - - - - - - -
2017/18 Cohort - - - - - - - - -
2018/19 Cohort - - - - - - - -
2019/20 Cohort - - - - - - -
2020/21 Cohort 14 2 4 6 12 86%
2021/22 Cohort 38 7 10 17 45%
2022/23 Cohort 41 12 12 29%
2023/24 Cohort 37

"-" indicates n=0

Logic for Program Review Metrics

(Last updated 7/16/2024)